Learning with Mixture of Prototypes for Out-of-Distribution Detection

Learning with Mixture of Prototypes for Out-of-Distribution Detection

5 February 2024

Shuo Wang

Papers citing "Learning with Mixture of Prototypes for Out-of-Distribution Detection"

18 / 18 papers shown

Title
AdaSCALE: Adaptive Scaling for OOD Detection Sudarshan Regmi OODD 49 0 0 11 Mar 2025
Brain-inspired analogical mixture prototypes for few-shot class-incremental learning Wanyi Li Wei Wei Yongkang Luo Peng Wang CLL 47 0 0 26 Feb 2025
Concept Matching with Agent for Out-of-Distribution Detection YuXiao Lee Xiaofeng Cao Jingcai Guo Wei Ye Qing-Wu Guo Yi Chang 49 0 0 08 Jan 2025
From Open Vocabulary to Open World: Teaching Vision Language Models to Detect Novel Objects Zizhao Li Zhengkang Xiang Joseph West Kourosh Khoshelham ObjD VLM 84 1 0 27 Nov 2024
Semantic or Covariate? A Study on the Intractable Case of Out-of-Distribution Detection Xingming Long Jie M. Zhang Shiguang Shan Xilin Chen OODD 35 0 0 18 Nov 2024
Going Beyond Conventional OOD Detection Sudarshan Regmi OODD 46 1 0 16 Nov 2024
GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning Guibin Zhang Haonan Dong Yuchen Zhang Zhixun Li Dingshuo Chen Kai Wang Tianlong Chen Yuxuan Liang Dawei Cheng Kun Wang 24 2 0 17 Oct 2024
Recent Advances in OOD Detection: Problems and Approaches Shuo Lu YingSheng Wang Lijun Sheng Aihua Zheng Lingxiao He Jian Liang OODD 45 2 0 18 Sep 2024
Improving Explainability of Softmax Classifiers Using a Prototype-Based Joint Embedding Method Hilarie Sit Brendan Keith Karianne Bergen 25 0 0 02 Jul 2024
Unveiling the Unknown: Conditional Evidence Decoupling for Unknown Rejection Zhaowei Wu Binyi Su Hua Zhang Zhong Zhou EDL 34 0 0 26 Jun 2024
SeTAR: Out-of-Distribution Detection with Selective Low-Rank Approximation Yixia Li Boya Xiong Guanhua Chen Yun Chen OODD 20 2 0 18 Jun 2024
Probabilistic Contrastive Learning with Explicit Concentration on the Hypersphere H. Li Ouyang Cheng Tamaz Amiranashvili Matthew S. Rosen Bjoern H. Menze J. Iglesias 24 0 0 26 May 2024
Energy-based Hopfield Boosting for Out-of-Distribution Detection Claus Hofmann Simon Schmid Bernhard Lehner Daniel Klotz Sepp Hochreiter OODD 34 8 0 14 May 2024
Gradient-Regularized Out-of-Distribution Detection Sina Sharifi Taha Entesari Bardia Safaei Vishal M. Patel Mahyar Fazlyab OODD 16 1 0 18 Apr 2024
ComFe: An Interpretable Head for Vision Transformers Evelyn J. Mannix H. Bondell Howard Bondell VLM ViT 16 1 0 07 Mar 2024
Mitigating Neural Network Overconfidence with Logit Normalization Hongxin Wei Renchunzi Xie Hao-Ran Cheng Lei Feng Bo An Yixuan Li OODD 160 258 0 19 May 2022
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 162 812 0 21 Oct 2021
On the Importance of Gradients for Detecting Distributional Shifts in the Wild Rui Huang Andrew Geng Yixuan Li 171 324 0 01 Oct 2021